IPAB Workshop Video Understanding with Limited Resources

Date: 
Thu, 26/09/2024 - 13:00
Location: 
Informatics Forum. G.03
Speaker: 
Laura Sevilla-Lara
University of Edinburgh

Abstract: Understanding video is a fundamental skill of intelligent systems such as robots or virtual assistants, to be able to move and interact with the world or with humans. However, learning how to understand video is very expensive, both in terms of data and compute. This cost has a wide range of effects, from carbon emissions to holding back progress in research. In this talk I will discuss the solutions that we are designing in my lab, as well as the underlying principles and takeaway messages for future work in this area.

Adaptive Experience Sharing in Multi-Agent Reinforcement Learning: A Unified Approach for Heterogeneous and Homogeneous Agents

Date: 
Thu, 19/09/2024 - 13:00 to 14:00
Location: 
Informatics Forum, G.03
Speaker: 
Atish Dixit
University of Edinburgh

(IPAB Workshop): Adaptive Experience Sharing in Multi-Agent Reinforcement Learning: A Unified Approach for Heterogeneous and Homogeneous Agents

Drop-in Session with Paragon Rapid Technology

Date: 
Tue, 24/09/2024 - 09:00 to 14:00
Location: 
The National Robotarium
Speaker: 
Paragon Rapid Technology
Paragon Rapid Technology

Additive Manufacturing & 3D Printing | CNC Machining | Traditional Production Technologies. We offer world-class support throughout the product development cycle, from innovation to manufacturing. Renowned for producing high performance polymer and metal parts and prototypes to exacting quality standards, Paragon Rapid Technologies is the preferred low volume production partner for thousands of customers across the aerospace, defence, energy, entertainment, automotive, medical, industrial and consumer industries in the UK.

Dr Karen Donaldson joins as an Elizabeth Georgeson Fellow

Dr Karen Donaldson has joined the University of Edinburgh on an Elizabeth Georgeson Fellowship where she will be working on robotics for planetary exploration. Dr Donaldson worked at the University of Edinburgh as part of the Connect-R EPSRC project for robotics in unstructured environments, she then was a project manager at the National Robotarium. Please get in touch with her about potential collaborations. 

Accelerating Large Language Models with Groq’s LPU Machine Learning Chips

Date: 
Thu, 26/09/2024 - 16:00 to 17:00
Location: 
Informatics Forum, G.07 & Zoom (details in description)
Speaker: 
Dr Satnam Singh
Groq

This is a Joint AIAI, ANC, ICSA, ILCC, IPAB, LFCS seminar and Scottish Programming Languages Institute (SPLI) Distinguished Lecture

Groq’s Language Processing Unit (LPU) chips are reshaping the landscape of large language model (LLM) deployment at scale. By prioritizing low latency and high throughput, our hardware and software stack enables rapid and efficient inference, making it ideal for applications where LLMs must be invoked repeatedly by agents e.g. for solving mathematical problems.